Evidence map›Paper›PMID 38045887›Full record

ArticleFrontiers in medical technology2023

Eye tracking technology in medical practice: a perspective on its diverse applications.

Mohammed Tahri Sqalli, Begali Aslonov, Mukhammadjon Gafurov, Nurmukhammad Mukhammadiev, Yahya Sqalli Houssaini

Abstract read
In one paragraph

Article in Frontiers in medical technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Mohammed Tahri SqalliDepartment of Economics, School of Foreign Services, Georgetown University in Qatar, Doha, Qatar.
Begali AslonovDepartment of Control and Computer Engineering, Polytechnic University of Turin, Turin, Italy.
Mukhammadjon GafurovDepartment of Business Administration, Carnegie Mellon University in Qatar, Doha, Qatar.
Nurmukhammad MukhammadievDepartment of Economics, School of Foreign Services, Georgetown University in Qatar, Doha, Qatar.
Yahya Sqalli HoussainiDepartment of Medicine, Faculty of Medecine and Pharmacy, Mohammed V University, Rabat, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eye tracking technology has emerged as a valuable tool in the field of medicine, offering a wide range of applications across various disciplines. This perspective article aims to provide a comprehensive overview of the diverse applications of eye tracking technology in medical practice. By summarizing the latest research findings, this article explores the potential of eye tracking technology in enhancing diagnostic accuracy, assessing and improving medical performance, as well as improving rehabilitation outcomes. Additionally, it highlights the role of eye tracking in neurology, cardiology, pathology, surgery, as well as rehabilitation, offering objective measures for various medical conditions. Furthermore, the article discusses the utility of eye tracking in autism spectrum disorders, attention-deficit/hyperactivity disorder (ADHD), and human-computer interaction in medical simulations and training. Ultimately, this perspective article underscores the transformative impact of eye tracking technology on medical practice and suggests future directions for its continued development and integration.

Indexed as

diagnostic accuracyeye trackinghuman-computer interactionmedical practicemedical training

Identifiers

PMID38045887
PMCPMC10691255

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.